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Open Land Use - the Current Status and Steps Forward

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International Data Week 2018

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Open Land Use - the Current Status and Steps Forward

  1. 1. Open Land Use current status and steps forward – data are 3D, Google searchable and OLU4Africa Karel Charvát, Bente Lilja Bye, Dmitri Kožuch, Tomas Mildorf, Petr Uhlir SciDataCon 2018: The Digital Frontiers of Global Science Gaborone (Botswana) 8th November 2018
  2. 2. • Open Land Use Map (https://sdi4apps.eu/open_land_use/ ): – Initiative that emerged from Plan4Business project, that aims at creating detailed European Open Land Use map, that could be used for planning activities by local authorities, businessmen, citizens – The product is as detailed possible (somewhere even at parcels level) harmonized, seamless land use map of Europe created from various sources of open vector data, that is published and available for free download Background
  3. 3. Open Land Use Map (OLU) • Harmonisation and integration of heterogeneous land use and land cover data • Reusing the INSPIRE land use data specifications → transformation into a common INSPIRE compliant data model • Mapping different classifications → HILUCS • Uniform visualisation • Using RDF model – in preparation 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 3
  4. 4. • Corine Land Cover 2006 • Urban Atlas • Cadastral data • Land Parcel Identification System – LPIS • Spatial plans • Other sources Different level of detail Different geometry Open Land Use Map 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 4
  5. 5. Methodology of data integration 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 5
  6. 6. Mapping different classifications SciDataCon 2018: The Digital Frontiers of Global Urban Atlas HILUCS 08.11.2018 6
  7. 7. Existing Open Land Use Maps SciDataCon 2018: The Digital Frontiers of Global Czech Republic Flanders Latvia Slovakia 08.11.2018 7
  8. 8. Open Land Use • Seamless coverage of most of the Europe (around 45 000 000 objects) • Where it is possible reliable local sources of data are used which have certain quality, certain update period, persistent identifier • Data model is based on Inspire Existing Land Use object data model • It however has more detailed metadata on the object’s metadata – stating exactly where did the object originate as seen on the image on the right. 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 8
  9. 9. Open Land Use page 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 9
  10. 10. Metadata 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 10
  11. 11. Metadata 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 11
  12. 12. Metadata 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 12
  13. 13. Discoverable by GOOGLE 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 13
  14. 14. 3D OLU 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 14
  15. 15. RDF OLU 08.11.2018 SciDataCon 2018: The Digital Frontiers of Global 15
  16. 16. • Open Land Use Map for Africa (https://goo.gl/Rn32HD): – Attempt to create Open Land Use Map for Africa based on available vector data (mainly from Open Street Map and Africover) during the last year Inspire hackathon in Kehl – The attempt has shown the insufficiency of vector data sources for creation of vector seamless harmonized land use map of Africa Background
  17. 17. Background
  18. 18. Background
  19. 19. Motivation • Lack of land use data in Africa • Increased availability of satellite imagery with spatial resolution suitable even for classifying individual buildings (for instance Sentinel products, Landsat products available from https://scihub.copernicus.eu/, https://earthexplorer.usgs.gov/ ) • Immense leap in usage of machine learning methods in many spheres (including image recognition, image classification)
  20. 20. Product • Seamless harmonized vector land use map of municipalities in Africa together with relevant spatial planning legislation and socio- economic data • Internet platform for providing services (data download, data upload, data search, data visualizations) for users/customers
  21. 21. Aims • Humanitarian : – Help sustainable development of municipalities, help optimize resource management, help reduce such problems as deforestation, unregulated urban growth, extensive exploitation of natural resources • Business : – Create sustainable business platform that would provide various data services and bring main stakeholders (authorities, businessmen, citizens) together
  22. 22. Data flows
  23. 23. Use of satellite data • Sentinel – 2 Imagery : – Will be classified and used for creating base land use map of municipalities
  24. 24. Use of satellite data derivatives Datasets will be used mainly for masking areas: • Global Urban Footprint (4 arc seconds) • CCI Land Cover 20 m land cover map of Africa • Land Cover map over Africa based on PROBA- V 100 m data
  25. 25. Workflow for base landuse map • Prepare the classification techniques that would be used for each HILUCS class if applicable (some classes such as financial services, community services etc. are difficult to deduce from 10 m satellite imagery) • Limit each HILUCS class to land cover context (classes) in which it can exist • Create training and evaluation samples for each HILUCS class (automatically with help of Sentinel 2 data cropped by respective features from available vector databases (Open Street Map for instance) ) • Create and test models • Mask out inappropriate land cover classes within municipality and run selected classification technique for identifying each class in selected municipality • Process all municipalities one by one
  26. 26. Workflow • Create search/download module for investors • Create view/crowdsource module for citizens • Create edit/upload/download module for authorities • Contact authorities to collect spatial plans/spatial planning legislation/socio-economic data, promote product among citizens
  27. 27. Thanks for your attention! https://micka.lesprojekt.cz https://goo.gl/Rn32HDcharvat@plan4all.eu www.plan4all.eu https://www.researchgate.net/profile/Karel_Charvat2 https://twitter.com/charvat_kar https://www.facebook.com/karel.charvat.3 https://www.linkedin.com/in/karelcharvat/

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